Random projections in reducing the dimensionality of climate simulation data
Random projection (RP) is a dimensionality reduction method that has been earlier applied to high-dimensional data sets, for instance, in image processing. This study presents experimental results of RP applied to simulated global surface temperature data. Principal component analysis (PCA) is utili...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Stockholm University Press
2014-10-01
|
| Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| Subjects: | |
| Online Access: | http://www.tellusa.net/index.php/tellusa/article/download/25274/pdf_1 |
